| AR-Net: A simple Auto-Regressive Neural Network for time-series | Nov 27, 2019 | Time SeriesTime Series Analysis | CodeCode Available | 2 |
| HierarchicalForecast: A Reference Framework for Hierarchical Forecasting in Python | Jul 7, 2022 | BIG-bench Machine LearningDecision Making | CodeCode Available | 2 |
| Interpretable Pre-Trained Transformers for Heart Time-Series Data | Jul 30, 2024 | DecoderElectrocardiography (ECG) | CodeCode Available | 2 |
| Large language models can be zero-shot anomaly detectors for time series? | May 23, 2024 | Anomaly DetectionLanguage Modeling | CodeCode Available | 2 |
| Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows | Feb 14, 2020 | Decision MakingMultivariate Time Series Forecasting | CodeCode Available | 2 |
| GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing | May 18, 2024 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 2 |
| From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection | Sep 26, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 2 |
| Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy | Oct 6, 2021 | Anomaly DetectionTime Series | CodeCode Available | 2 |
| Frequency Adaptive Normalization For Non-stationary Time Series Forecasting | Sep 30, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 2 |
| Are Self-Attentions Effective for Time Series Forecasting? | May 27, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 2 |
